INFORMATION CHANGE THE WORLD

International Journal of Modern Education and Computer Science (IJMECS)

ISSN: 2075-0161 (Print), ISSN: 2075-017X (Online)

Published By: MECS Press

IJMECS Vol.6, No.6, Jun. 2014

Dynamic Effort Allocation Problem Using Genetic Algorithm Approach

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Author(s)

Md. Nasar, Prashant Johri, Udayan Chanda

Index Terms

SRGM;optimal control theory;testing effort allocation;genetic algorithm; release time problem

Abstract

Effort distribution plays a major role in software engineering field. Because the limited price projects are becoming common today, the process of effort estimation becomes crucial, to control the budget agreed upon. In last 10 years, numerous software reliability growth models (SRGM) have been developed but majority of model are under static assumption. The basic goal of this article is to explore an optimal resource allocation plan to minimize the software cost throughout the testing phase and operational phase under dynamic condition using genetic algorithm technique. This article also studies the resource allocation problems optimally for various conditions by investigating the activities of the model parameters and also suggests policies for the optimal release time of the software in market place.

Cite This Paper

Md. Nasar, Prashant Johri, Udayan Chanda,"Dynamic Effort Allocation Problem Using Genetic Algorithm Approach", IJMECS, vol.6, no.6, pp.46-52, 2014.DOI: 10.5815/ijmecs.2014.06.06

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